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Streams, flows and storms - how not to drown with your data?

A session at JEEConf 2016

Friday 20th May, 2016

12:00pm to 12:45pm (KMT)

The landscape of stream processing frameworks gets more and more complicated. Some time ago Apache Storm was the only boy/girl in town. After that Spark Streaming emerged, then Apache Flink - European answer to Storm & Spark. What's more - just few days ago Apache Dataflow entered incubation stage - aiming at API unification and backed by Google. I'm not even mentioning Samza, Flume nor projects that failed to gain traction.

In the talk I'd like to clear things a bit to help listeners (and myself) decide - which of above fit particular needs and which ones are stable enough to be used without fear.

About the speaker

This person is speaking at this event.
Maciek Próchniak

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JEEConf 2016

Ukraine Ukraine, Kiev

20th21st May 2016

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When

Time 12:00pm12:45pm KMT

Date Fri 20th May 2016

Short URL

lanyrd.com/sdyzpt

Official event site

jeeconf.com

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